A resource for learning about Machine learning & Deep Learning
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Updated
Feb 9, 2024 - Python
A resource for learning about Machine learning & Deep Learning
A Collection of Variational Autoencoders (VAE) in PyTorch.
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
[CVPR2020] Adversarial Latent Autoencoders
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR23).
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Photometric optimization code for creating the FLAME texture space and other applications
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